vertical-skills-agent 1.0.0

CLI tool to create Google Cloud AI agents from vertical skills

Vertical Skills Agent CLI

Create production-ready Google Cloud AI agents from vertical skills in minutes.

Quick Start

# Install skill
npx skills add GoogleCloudPlatform/vertical-skills/skills/product-search -y

# Create agent
uvx vertical-skills-agent create product-search

What It Does

This CLI tool:

1. Interviews you with 9 domain-specific questions
2. Generates a comprehensive DESIGN_SPEC.md
3. Scaffolds a complete agent project using agent-starter-pack
4. Adds custom ingestion scripts tailored to your schema
5. Provides clear next steps for deployment

Installation

# Using uvx (recommended)
uvx vertical-skills-agent create product-search

# Or install globally
pip install vertical-skills-agent
vertical-skills-agent create product-search

Usage

# Interactive mode (recommended)
vertical-skills-agent create product-search

# Skip interview with defaults
vertical-skills-agent create product-search --skip-interview

# Custom output directory
vertical-skills-agent create product-search --output-dir ./my-agents

# Debug mode
vertical-skills-agent create product-search --debug

Generated Project Structure

electronics-search/
├── DESIGN_SPEC.md           # Your requirements
├── app/
│   ├── agent.py             # Main agent logic
│   ├── search_agent.py      # Vector Search integration
│   └── orchestrator.py      # Multi-agent orchestration
├── scripts/
│   └── ingestion/
│       └── ingest_bigquery.py   # Custom BigQuery ingestion
├── tests/
│   └── eval/                # Evaluation templates
├── deployment/
│   └── terraform/           # Infrastructure as code
├── Makefile                 # Development commands
└── pyproject.toml           # Dependencies

Next Steps After Generation

cd electronics-search

# 1. Provision infrastructure
make setup-datastore

# 2. Ingest your product data
python scripts/ingestion/ingest_bigquery.py \
  --project-id YOUR_PROJECT \
  --gcs-bucket YOUR_BUCKET \
  --gcs-path products.csv

# 3. Test locally
make playground

# 4. Run evaluations
make eval

# 5. Deploy to production
make deploy

Requirements

• Python 3.10+
• Google Cloud Project with billing enabled
• Vertex AI API enabled

Documentation

• Product Search Skill
• Agent Starter Pack
• ADK Documentation

License

Apache 2.0